Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Davidson County, TN

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Davidson County, TN
Series ID MHICILBTN47037A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2022-01-01
Last Updated 2023-12-14 12:51 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 26088
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28754
1994-01-01 .
1995-01-01 32544
1996-01-01 .
1997-01-01 36315
1998-01-01 38359
1999-01-01 37164
2000-01-01 37773
2001-01-01 37183
2002-01-01 37187
2003-01-01 38639
2004-01-01 39601
2005-01-01 39870
2006-01-01 41094
2007-01-01 45031
2008-01-01 44824
2009-01-01 44899
2010-01-01 42432
2011-01-01 42171
2012-01-01 42991
2013-01-01 46000
2014-01-01 46397
2015-01-01 50685
2016-01-01 52570
2017-01-01 56025
2018-01-01 59182
2019-01-01 61547
2020-01-01 60836
2021-01-01 62633
2022-01-01 70488

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